Markus Wagner

Most of my publications are also available at DBLP and Google Scholar. Regarding the copyright, I should mention that the following listing gives links to pre-print or author-prepared versions of the papers. They are provided for timely communication among scholars, without permission for further distribution. The definitive version of a paper is the published version.

If you have any questions, if you would like to get access to code or to raw results, if you would like to collaborate, ... then please do not hesitate to email me.

Theses

Doctor of Philosophy

Theory and Applications of Bio-Inspired Algorithms
Markus Wagner
Supervisors: Frank Neumann and Zbyszek Michalewicz
PDF | PDF @ University of Adelaide Library | Winner of the University Doctoral Research Medal 2013

Diploma Computer Science

Testing a Verification System
Markus Wagner
Supervisors: Bernhard Beckert and Thorsten Bormer

Refereed Journal Articles

Empirical Software Engineering (IF 4.728, accepted 25 September 2023)

Detecting Outdated Code Element References in Software Repository Documentation
Wen Siang Tan, Markus Wagner, Christoph Treude
SpringerLink | arXiv.org

Empirical Software Engineering (IF 4.728)

Program Transformation Landscapes for Automated Program Modification Using Gin
Justyna Petke, Brad Alexander, Earl T. Barr, Alexander E.I. Brownlee, Markus Wagner, David R. White
SpringerLink Open Access

IEEE Transactions on Intelligent Transportation Systems (IF 8.5)

Sensor Allocation and Online-Learning-based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach
Bach Long Nguyen, Anh-Dzung Doan, Tat-Jun Chin, Christophe Guettier, Estelle Parra, Ian Reid, Markus Wagner
arXiv.org | IEEE Xplore

Soft Computing (IF 3.732)

A regression analysis of the impact of routing and packing dependencies on the expected runtime
Mohamed El Yafrani, Marcella Scoczynski, Markus Wagner and Peter Nielsen
PDF | SpringerLink

Computer Vision and Image Understanding (IF 4.5)

Assessing Domain Gap for Continual Domain Adaptation in Object Detection
Anh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian Reid, Markus Wagner, Tat-Jun Chin
ScienceDirect | arXiv.org

IEEE Transactions on Software Engineering (Q1, IF=9.322, accepted for publication on 13 February 2023)

NCQ: Code reuse support for node.js developers
Brittany Reid, Marcelo d'Amorim, Markus Wagner, Christoph Treude
arXiv.org | IEEE

Ocean Engineering (IF 4.372, Q1)

A novel integrated approach for offshore wind power optimization
Fenglan He, Markus Wagner, Lijun Zhang, Changsheng Shao, Wenhao Xu, Weiqiu Chen, Yun Yan, and Ye Li
Elsevier ScienceDirect

Information and Software Technology (IF=2.370)

Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains
Terence Wong, Markus Wagner, Christoph Treude
arXiv.org | Elsevier ScienceDirect

IEEE Transactions on Cloud Computing (IF=5.938)

Online Deployment Algorithms for Microservice Systems with Complex Dependencies
Xiang He, Zhiying Tu, Markus Wagner, Xiaofei Xu, and Zhongjie Wang
arXiv.org | IEEE Xplore

Optimization Letters (IF 1.888)

Efficiently solving the thief orienteering problem with a max-min ant colony optimization approach
Jonatas B. C. Chagas and Markus Wagner
PDF | code | SpringerLink

Computers and Operations Research (IF=4.008)

A weighted-sum method for solving the bi-objective traveling thief problem
Jonatas B. C. Chagas, Markus Wagner
Elsevier ScienceDirect | arXiv.org (accepted 10 September 2021) | code

Technical Report

What makes a good Node.js package? Investigating Users,Contributors, and Runnability
Bodin Chinthanet, Brittany Reid, Christoph Treude, Markus Wagner, Raula Gaikovina Kula, Takashi Ishio, and Kenichi Mastumoto
preprint

Energy (IF 6.082)

Wind turbine power output prediction using a new hybrid neuro-evolutionary method
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Seyedali Mirjalili, Daniele Groppi, Azim Heydari, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Qinfeng Shi, Markus Wagner
Elsevier ScienceDirect

Energy Conversion and Management (IF 8.208)

A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Seyedali Mirjalili, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner
Elsevier ScienceDirect

Applied Soft Computing (IF 5.472)

Toward more efficient heuristic construction of Boolean functions
Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner
Elsevier ScienceDirect | PDF

Natural Computing (IF=1.495, accepted 6 February 2021)

Saving Computational Budget in Bayesian Network-based Evolutionary Algorithms
Marcella Scoczynski, Myriam Delgado, Ricardo Luders, Diego Oliva, Markus Wagner, Inkyung Sung, and Mohamed El Yafrani
SpringerLink

SoftwareX

GTOPX Space Mission Benchmarks
Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, and Markus Wagner
arXiv.org | website | ScienceDirect (open access)

Natural Computing (IF=1.495)

Evolutionary Algorithms and Submodular Functions: Benefits of Heavy-Tailed Mutations
Tobias Friedrich, Andreas GÃ¶bel, Francesco Quinzan, Markus Wagner
arXiv.org | SpringerLink

European Journal of Operational Research (IF=5.334)

Metaheuristics 'In the Large'
Jerry Swan, Steven Adraensen, Alexander E. I. Brownlee, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, J. J. Merelo, Leandro L. Minku, Ender Ã–zcan, Gisele L. Pappa, Pablo GarcÃa-SÃ¡nchez, Kenneth SÃ¶rensen, Stefan VoÃŸ, Markus Wagner, David R. White
arXiv.org | Elsevier ScienceDirect

Energies (IF 2.702)

A New Bi-Level Optimisation Framework for Optimising a Multi-Mode Wave Energy Converter Design: A Case Study for the Marettimo Island, Mediterranean Sea
Mehdi Neshat, Nataliia Y. Sergiienko, Erfan Amini, Meysam Majidi Nezhad, Davide Astiaso Garcia, Bradley Alexander and Markus Wagner
online | PDF

Journal of Heuristics (accepted 2 Sep 2020, IF 1.577)

A Non-Dominated Sorting Based Customized Random-Key Genetic Algorithm for the Bi-Objective Traveling Thief Problem
Chagas, J. B. C., Blank, J., Wagner, M., Souza, M. J. F. and Deb, K.
PDF | updated PDF | arXiv.org | TTP Project Page | SpringerLink

Operations Research Letters (Accepted 26 August 2020, IF 0.757)

Ants can orienteer a thief in their robbery
Jonatas B. C. Chagas and Markus Wagner
arXiv.org | Elsevier ScienceDirect | TTP Project Page | code

Applied Soft Computing (Full Special Issue, IF 5.472)

Benchmarking of Computational Intelligence Algorithms
Thomas Weise, Markus Wagner, Bin Li, Xingyi Zhang, JÃ¶rg LÃ¤ssig
Elsevier ScienceDirect | editorial

Technical Report

Benchmarking in Optimization: Best Practice and Open Issues
Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel Lopez-Ibanez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, and Thomas Weise
arXiv.org

Swarm and Evolutionary Computation (Elsevier, impact factor 6.912, accepted 7 July 2020)

New insights into the Position Optimization of Wave Energy Converters by a Hybrid Local Search
Mehdi Neshat, Bradley Alexander, Nataliia Sergiienko, and Markus Wagner
arXiv.org | code: on the project page | Elsevier ScienceDirect

Information Sciences (Elsevier, impact factor 5.524)

A Hybrid Cooperative Co-evolution Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters
Mehdi Neshat, Bradley Alexander, and Markus Wagner
arXiv.org | Elsevier ScienceDirect

Empirical Software Engineering 2020 (Springer, impact factor 4.457)

Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers
Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, and Zhe Yu
arXiv.org | SpringerLink

Optimization in Industry 2019

Evolutionary computation for multicomponent problems: opportunities and future directions
Mohammad Reza Bonyadi, Zbigniew Michalewicz, Frank Neumann, and Markus Wagner
Springer Book Chapter arXiv.org

Information Sciences 2018 (Elsevier, impact factor 4.832)

On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems
Shelvin Chand, Quang Huynh, Hemant Singh, Tapabrata Ray, and Markus Wagner
Elsevier ScienceDirect | PDF

Tunnelling and Underground Space Technology 2017 (Elsevier, impact factor 2.562)

Performance Analysis of ZigBee Network Topologies for Underground Space Monitoring and Communication Systems
Mohammad Ali Moridi, Youhei Kawamura, Mostafa Sharifzadeh, Emmanuel Knox Chanda, Markus Wagner, Hirokazu Okawa
Elsevier ScienceDirect | PDF

Genetic Programming and Evolvable Machines 2017 (Springer, impact factor 1.514)

A hyperheuristic approach based on low-level heuristics for the travelling thief problem
Mohamed El Yafrani, Marcella Martins, Markus Wagner, BelaÃ¯d Ahiod, Myriam Delgado, and Ricardo LÃ¼ders
SpringerLink | PDF | TTP Project Page

Journal of Heuristics 2017 (Springer, impact factor 1.344)

A case study of algorithm selection for the traveling thief problem
Markus Wagner, Marius Lindauer, Mustafa Misir, Samadhi Nallaperuma, and Frank Hutter
PDF | arXiv.org | datasets (ASlib scenario, performance data, ...) | SpringerLink | Readcube version (read only, no print/PDF) | TTP Project Page

Frontiers in Applied Mathematics and Statistics, Section Optimization

Nested Multi- and Many-Objective Optimisation of Team Track Pursuit Cycling
Markus Wagner
Frontiers (open access)

Applied Soft Computing 2016 (Elsevier, impact factor 3.222)

Incorporating Domain Knowledge into the Optimization of Energy Systems
Md Shahriar Mahbub, Markus Wagner, and Luigi Crema
Elsevier ScienceDirect | PDF (accepted 13 June 2016)

Renewable Energy 2016 (Elsevier, impact factor 3.982)

Renewable Energy 2016 Special Issue "Optimization Methods in Renewable Energy Systems Design"
Paul Kaufmann, Oliver Kramer, Frank Neumann, and Markus Wagner (Managing Guest Editor)
Elsevier ScienceDirect | PDF (Editorial) | Our special issue received 135 submissions.

Surveys in Operations Research and Management Science 2015 (Elsevier)

Evolutionary Many-Objective Optimization: A Quick-Start Guide
Shelvin Chand and Markus Wagner
Elsevier ScienceDirect | PDF

Frontiers in Robotics and AI, Section Computational Intelligence 2015

Analyzing the Effects of Instance Features and Algorithm Parameters for Max-Min Ant System and the Traveling Salesperson Problem
Samadhi Nallaperuma, Markus Wagner, and Frank Neumann
Frontiers (open access) | PDF

European Journal of Operational Research 2015 (Elsevier, impact factor 2.911)

Efficient Optimization of Many Objectives by Approximation-Guided Evolution
Markus Wagner, Karl Bringmann, Tobias Friedrich, and Frank Neumann
Elsevier ScienceDirect | Source Code: jMetal implementation (Note) | PDF

Applied Soft Computing 2015 (Elsevier, impact factor 3.222)

Seeding the Initial Population of Multi-Objective Evolutionary Algorithms: A Computational Study
Tobias Friedrich and Markus Wagner
Elsevier ScienceDirect | arXiv.org | Seeding: solutions used for DTLZ, LZ, WFG, ZDT | PDF

Evolutionary Computation Journal 2015 (MIT Press, impact factor 2.366)

On the Performance of Different Genetic Programming Approaches for the SORTING Problem
Markus Wagner, Frank Neumann, and Tommaso Urli
MIT Press | PDF

International Journal of Mining Science and Technology 2015 (Elsevier, impact factor 1.41)

Development of Underground Mine Monitoring and Communication System integrated ZigBee and GIS
Mohammad Ali Moridi, Youhei Kawamura, Mostafa Sharifzadeh, Emmanuel Knox Chanda, Markus Wagner, Hyongdoo Jang, and Hirokazu Okawa
Elsevier ScienceDirect | PDF

Journal of Disaster Research 2015 (Fuji Technology Press)

Analysis of radio wave propagation in an urban environment and its application to initial disaster response support
Youhei Kawamura, Kento Ishii, Hyongdoo Jang, Markus Wagner, Hajime Nobuhara, Ashraf M. Dewan, Bert Veenendaal, and Itaru Kitahara
Fuji Technology | PDF

ISPRS International Journal of Geo-Information 2015

A Multimedia Data Visualization Based on Ad-Hoc Communication Networks and Its Application to Disaster Management
Youhei Kawamura, Markus Wagner, Hyongdoo Jang, Hajime Nobuhara, Takeshi Shibuya, Itaru Kitahara, Ashraf M Dewan, Bert Veenendaal
ISPRS (open access) | PDF

Renewable Energy 2013 (Elsevier, impact factor 3.982)

A Fast and Effective Local Search Algorithm for Optimizing the Placement of Wind Turbines
Markus Wagner, Jareth Day, and Frank Neumann
Elsevier ScienceDirect | arXiv.org | publicly available version | Code: Turbine Distribution Algorithm (TDA)

Renewable Energy 2013 (Elsevier, impact factor 3.982)

Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation
Katya Vladislavleva, Tobias Friedrich, Frank Neumann, and Markus Wagner
Elsevier ScienceDirect | arXiv.org

Annals of Mathematics and Artificial Intelligence 2013 (Springer, impact factor 0.49)

A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem
Olaf Mersmann, Bernd Bischl, Heike Trautmann, Markus Wagner, and Frank Neumann
Springer AMAI | arXiv.org

Book Chapters

Advances in Metaheuristics 2013

Evolving Pacing Strategies for Team Pursuit Track Cycling
Markus Wagner, Jareth Day, Diora Jordan, Trent Kroeger, and Frank Neumann
Springer Operations Research/Computer Science Interfaces Series | PDF | simulator code

GPTP 2011

Computational Complexity Analysis of Genetic Programming
Frank Neumann, Una-May O'Reilly, and Markus Wagner
Genetic Programming: Theory and Practice
PDF | Chapter @ Springer Verlag | Book @ Springer Verlag | BibTeX | Abstract

Refereed Conference Papers and Other Articles

International Symposium on Communications and Information Technologies (ISCIT)

Design of Terahertz All-Dielectric Antenna via Optimisation
Chenchu Ma, Harrison Lees, Markus Wagner and Withawat Withayachumnankul

IEEE International Conference on Energy Technologies for Future Grids (ETFG)

Community Battery Energy Storage Systems for Enhancing Distribution System Operation: A Multi-objective Optimization Approach
Yunqi Wang, Hao Wang, Markus Wagner, and Ariel Liebman

SCAM 2023

Using the TypeScript compiler to fix erroneous Node.js snippets
Brittany Reid, Christoph Treude, Markus Wagner
arXiv.org

Technical Report

Wait, wasn't that code here before? Detecting Outdated Software Documentation
Wen Siang Tan, Markus Wagner, Christoph Treude
arXiv.org | code

Software Engineering News (SEN) September 2023

Genetic Improvement @ ICSE 2023
William B. Langdon, Vesna Nowack, Justyna Petke, Erik M. Fredericks, Gabin An, Aymeric Blot, Markus Wagner, and Hyeonseok Lee
preprint

NLBSE 2023 - 2nd International Workshop on NL-based Software Engineering

Applying information theory to software evolution
Adriano Torres, Sebastian Baltes, Christoph Treude, Markus Wagner
arXiv.org

Technical Report

Socialz: Multi-Feature Social Fuzz Testing
Francisco Zanartu, Christoph Treude, Markus Wagner
arXiv.org | code on GitHub | seminar slides 14 March 2023 | seminar slides 14 June 2023

Technical Report

ELEA - Build your own Evolutionary Algorithm in your Browser
Markus Wagner, Erik Kohlros, Gerome Quantmeyer, Timo Kötzing
arXiv.org

ICSE 2023 Demo Paper

CryptOpt: Automatic Optimization of Straightline Code
Joel Kuepper, Andres Erbsen, Jason Gross, Owen Conoly, Chuyue Sun, Samuel Tian, David Wu, Adam Chlipala, Chitchanok Chuengsatiansup, Daniel Genkin, Markus Wagner, and Yuval Yarom
PDF | GitHub | ICSE page with video

PLDI 2023 Distinguished Paper

CryptOpt: Verified Compilation with Random Program Search for Cryptographic Primitives
Joel Kuepper, Andres Erbsen, Jason Gross, Owen Conoly, Chuyue Sun, Samuel Tian, David Wu, Adam Chlipala, Chitchanok Chuengsatiansup, Daniel Genkin, Markus Wagner, Yuval Yarom
arXiv.org | ACM Digital Library | GitHub
PLDI Distinguished Paper
Humies 2023 GOLD Award: certificate | entry form | presentation
This has also been accepted at Real World Crypto 2023 (acceptance: 28/135) for presentation
seminar recording from January 2023 (Monash University, presented by Joel Kuepper)
featured in the SIGEvolution newsletter (Volume 16, Issue 3)
featured in the Australian Information Security Association's (AISA) "Cyber Today", Edition 2

IEEE Transaction on Emerging Topics in Computational Intelligence (IF 5.3)

Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach
Bach Long Nguyen, Duong D. Nguyen, Hung X. Nguyen, Duy T. Ngo, and Markus Wagner
arXiv.org | IEEE Xplore | code

2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

Optimal offering strategy for an aggregator across multiple products of European day-ahead market
Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi, Markus Wagner, and Jon A. R. Liisberg
arXiv.org | IEEE Xplore

Technical Report

Automatically Categorising GitHub Repositories by Application Domain
Francisco Zanartu, Christoph Treude, Bruno Cartaxo, Hudson Silva Borges, Pedro Moura, Markus Wagner, and Gustavo Pinto
arXiv.org

GI @ GECCO 2022 Workshop

Opportunities for Genetic Improvement of Cryptographic Code
Chitchanok Chuengsatiansup, Markus Wagner, and Yuval Yarom
PDF | ACM Digital Library

GI @ GECCO 2022 Workshop

Dissecting Copy/Delete/Replace/Swap mutations: Insights from a GIN Case Study
Sherlock Licorish and Markus Wagner
PDF | ACM Digital Library

Mining Software Repositories (MSR) - registered report

Is Surprisal in Issue Trackers Actionable?
James Caddy, Markus Wagner, Christoph Treude, Earl T. Barr, Miltiadis Allamanis
arXiv.org

GECCO 2022 poster

On the Utility of Marrying GIN and PMD for Improving Stack Overflow Code Snippets
Sherlock A. Licorish, Markus Wagner
arXiv.org

GECCO 2022 poster

Fairness in Generative Modeling: do it Unsupervised!
Nathanael Carraz, Vlad Hosu, Laurent Najman, Fabien Teytaud, Olivier Teytaud, Markus Wagner, and Mariia Zameshina
arXiv.org | ACM Digital Library

GECCO 2022 poster

Neighbours similar fitness and the effectiveness of restarting local search
Aldeida Aleti, Mark Wallace, and Markus Wagner
ACM Digital Library

GECCO 2022 poster

On the Fitness Landscapes of Interdependency Models in the Travelling Thief Problem
Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam Delgado, Ricardo LÃ¼ders, Peter Nielsen, and Markus Wagner
arXiv.org | ACM Digital Library

International Workshop on Recruiting Participants for Empirical Software Engineering (RoPES) 2022

Software Engineering User Study Recruitment on Prolific: An Experience Report
Brittany Reid, Markus Wagner, Marcelo d'Amorim, and Christoph Treude
arXiv.org

Symposium On Applied Computing (SAC) 2022

Run-of-Mine stockyard recovery scheduling and optimisation for multiple reclaimers
Hirad Assimi, Ben Koch, Chris Garcia, Markus Wagner and Frank Neumann
arXiv.org | ACM Digital Library

Technical Report

Many-Objective Optimization for Diverse Image Generation
Nathanaël Carraz Rakotonirina, Andry Rasoanaivo, Laurent Najman, Petr Kungurtsev, Jeremy Rapin, Fabien Teytaud, Baptiste Roziere, Olivier Teytaud, Markus Wagner, Pak-Kan Wong, and Vlad Hosu
HAL (PDF)

ACM Conference on Computer and Communications Security (CCS) 2022

Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code
Madura Shelton, Niels Samwel, Åukasz Chmielewski, Markus Wagner, Lejla Batina, and Yuval Yarom
ACM Digital Library | eprint | code

GECCO 2021 Poster

Novelty Particle Swarm Optimisation for Truss Optimisation Problems
Hirad Assimi, Frank Neumann, Markus Wagner, and Xiaodong Li
ACM Digital Library

GECCO 2021 Poster

On the Effectiveness of Restarting Local Search
Aldeida Aleti, Mark Wallace, and Markus Wagner
ACM Digital Library

GECCO 2021 Workshop ECPERM â€” Evolutionary Computation for Permutation Problems

Generating Instances with Performance Differences for More Than Just Two Algorithms
Jakob Bossek, Markus Wagner
arXiv.org | slides | extended slides for IEEE CI Queensland talk on 7 September 2021 (recording)

EvoCOP 2021

MATE: A Model-based Algorithm Tuning Engine
Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Inkyung Sung, Markus Wagner, Carola Doerr, and Peter Nielsen
arXiv.org | SpringerLink

Symposium On Applied Computing (SAC) 2021

Modelling and Optimization of Run-of-Mine Stockpile Recovery
Hirad Assimi, Ben Koch, Chris Garcia, Markus Wagner, and Frank Neumann
PDF | ACM Digital Library

Network & Distributed System Security (NDSS) Symposium 2021 (acceptance rate 17.6%)

Rosita: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers
Madura A Shelton, Niels Samwel, Lejla Batina, Francesco Regazzoni, Markus Wagner, and Yuval Yarom
arXiv.org | ePrint
This has also been accepted at Real World Crypto 2021 (acceptance rate 35.6%) for presentation.

SIGSOFT Software Engineering Notes, Vol. 45, No. 4

Genetic Improvement @ ICSE 2020
William B. Langdon, Westley Weimer, Justyna Petke, Erik Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang and Michael Gerten
PDF | ACM Digital Library

ICONIP 2020

The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms
Ragav Sachdeva, Frank Neumann, and Markus Wagner
arXiv.org | TTP Project Page | SpringerLink

PPSN 2020

Human-Like Summaries from Heterogeneous and Time-Windowed Software Development Artefacts
Mahfouth Alghamdi, Christoph Treude, and Markus Wagner
arXiv.org | SpringerLink

PPSN 2020

Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations
Marko Durasevic, Domagoj Jakobovic, Marcella Scoczynski Ribeiro Martins, Stjepan Picek, and Markus Wagner
arXiv.org |

Genetic Improvement Workshop GI@GECCO 2020

An Annotated Dataset of Stack Overflow Post Edits
Sebastian Baltes and Markus Wagner
arXiv.org | ACM Digital Library | dataset at Zenodo | YouTube video demonstrating access to the dataset | slides

Genetic Improvement Workshop GI@GECCO 2020

Optimising the Fit of Stack Overflow Code Snippets into Existing Code
Brittany Reid, Christoph Treude, and Markus Wagner
arXiv.org | ACM Digital Library | slides

Genetic Improvement Workshop GI@GECCO 2020

Genetic Improvement of Software Efficiency: The Curse of Fitness Estimation
Mahmoud A. Bokhari, Brad Alexander, and Markus Wagner
ACM Digital Library | slides

GECCO 2020

Towards Rigorous Validation of Energy Optimisation Experiments
Mahmoud A. Bokhari, Brad Alexander, Markus Wagner
arXiv.org | slides | ACM Digital Library

GECCO 2020, Best Paper Award (RWA Track, best of 47 submissions in this track)

Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework
Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, and Markus Wagner
arXiv.org | animations | ACM Digital Library | slides | Best Paper Award Certificate | dataset at UC Irvine Machine Learning Repository

Technical Report

An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner
arXiv.org | Elsevier ScienceDirect

OMAE 2020 - 39th International Conference on Ocean, Offshore & Arctic Engineering

Design optimisation of a multi-mode wave energy converter
Nataliia Y. Sergiienko, Mehdi Neshat, Leandro S.P. da Silva, Bradley Alexander and Markus Wagner
arXiv.org | simulation tool

Technical Report

Is perturbation an effective restart strategy?
Aldeida Aleti, Mark Wallace, and Markus Wagner
arXiv.org

Configuration and Selection of Algorithms Workshop (COSEAL) 2019

Algorithm Selection for Image Quality Assessment
Markus Wagner, Hanhe Lin, Shujun Li, and Dietmar Saupe
arXiv.org | PDF | poster

International Conference on Neural Information Processing (ICONIP) 2019

Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation
Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, and Markus Wagner
SpringLink | researchgate

BRACIS 2019

On updating probabilistic graphical models in a Bayesian Optimisation Algorithm
Marcella Scoczynski, Mohamed El Yafrani, Myriam R. B. S. Delgado, Ricardo LÃ¼ders, Inkyung Sung, Markus Wagner, and Diego Oliva
PDF | IEEE Xplore

Foundations of Genetic Algorithms (FOGA)

Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators
Jakob Bossek, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann and Heike Trautmann
preliminary version | code | ACM Digital Library

GECCO 2019 Companion - Genetic Improvement of Software Workshop

A Survey of Genetic Improvement Search Spaces
Justyna Petke, Brad Alexander, Earl T. Barr, Alexander E.I. Brownlee, Markus Wagner, and David R. White
ACM Digital Library | PDF

GECCO 2019 Companion - Genetic Improvement of Software Workshop

Toward Human-Like Summaries Generated from Heterogeneous Software Artefacts
Mahfouth Alghamdi, Christoph Treude, and Markus Wagner
ACM Digital Library | PDF | arXiv.org | slides

GECCO 2019 Companion - Genetic Improvement of Software Workshop

The Quest for Non-Functional Property Optimisation in Heterogeneous and Fragmented Ecosystems: a Distributed Approach
Mahmoud A. Bokhari, Markus Wagner, and Brad Alexander
ACM Digital Library | PDF | slides

GECCO 2019 Companion - Black-Box Discrete Optimisation Benchmarking Workshop

Kinder Surpriseâ€™s Debut in Discrete Optimisation â€“ A Real-World Toy Problem that can be Subadditive
Markus Wagner
ACM Digital Library | PDF | GitHub | slides

Technical Report

On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms
Mohamed El Yafrani, Marcella S. R. Martins, Myriam R. B. S. Delgado, Inkyung Sung, Ricardo Luders, Markus Wagner
arXiv.org

GECCO 2019, CORE A, acc rate 35%

Gin: Genetic Improvement Research Made Easy
Alexander E.I. Brownlee, Justyna Petke, Brad Alexander, Earl T. Barr, Markus Wagner, and David R. White
ACM Digital Library | PDF

GECCO 2019, CORE A, acc rate 35%, Best Paper Award in the RWA Track (best of 87 submissions in this track)

A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters
Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, and Markus Wagner
ACM Digital Library | PDF | slides | arXiv.org | project page with code and videos | Best Paper Award Certificate | Best Paper Award Ceremony

GECCO 2019, CORE A, acc rate 35%

A characterisation of S-box fitness landscapes in cryptography
Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, and Markus Wagner
ACM Digital Library | PDF | arXiv.org | slides

GECCO 2019, CORE A, acc rate 35%, Best Paper Nomination

Evolutionary Diversity Optimization Using Multi-Objective Indicators
Aneta Neumann, Wanru Gao, Markus Wagner, and Frank Neumann
PDF | PDF | arXiv.org | code for diversity calculations | slides | slides (extended version used on 28 Nov 2019 in Coimbra)

Mining Software Repositories (MSR) 2019, CORE A, acc rate 25%

Predicting Good Configurations for GitHub and Stack Overflow Topic Models
Christoph Treude and Markus Wagner
ACM Digital Library | PDF | arxiv.org (as "Per-Corpus Configuration of Topic Modelling for GitHub and Stack Overflow Collections") | slides

Congress on Evolutionary Computation (CEC) 2019

Mind the gap -- a distributed framework for enabling energy optimisation on modern smart-phones in the presence of noise, drift, and statistical insignificance
Mahmoud Bokhari, Lujung Weng, Markus Wagner, Bradley Alexander
IEEE Xplore | PDF

AAAI 2019, CORE A*, acc rate 16%

An Improved Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search
Thomas Weise, Zijun Wu, and Markus Wagner
arXiv.org | data | preliminary version | slides from PGMO Days 4 Dec 2019, Paris

MOBIQUITOUS 2018

In-vivo and offline optimisation of energy use in the presence of small energy signals - A case study on a popular Android library
Mahmoud A. Bokhari, Brad Alexander, and Markus Wagner
preliminary version | ACM Digital Library

Parallel Problem Solving from Nature (PPSN) 2018

Sensitivity of Parameter Control Mechanisms with Respect to Their Initialization
Carola Doerr and Markus Wagner
SpringerLink | preliminary version

Parallel Problem Solving from Nature (PPSN) 2018

Heavy-tailed Mutation Operators in Single-Objective Combinatorial Optimization
Tobias Friedrich, Andreas Goebel, Francesco Quinzan, and Markus Wagner
SpringerLink | preliminary version | arXiv title: Randomized Local Search Heuristics for Submodular Maximization and Covering Problems: Benefits of Heavy-tailed Mutation Operators

Parallel Problem Solving from Nature (PPSN) 2018

Sparse incomplete LU-decomposition for Wave Farm Designs under Realistic Conditions
Didac Rodriguez Arbones, Nataliia Y. Sergiienko, Boyin Ding, Oswin Krause, Christian Igel, and Markus Wagner
SpringerLink | preliminary version

Genetic and Evolutionary Computation Conference (GECCO) 2018

Escaping Large Deceptive Basins of Attraction with Heavy-Tailed Mutation Operators
Tobias Friedrich, Francesco Quinzan, and Markus Wagner
ACM Digital Library | PDF | slides

Genetic and Evolutionary Computation Conference (GECCO) 2018

A Detailed Comparison of Meta-Heuristic Methods for Optimising Wave Energy Converter Placements
Mehdi Neshat, Bradley Alexander, Markus Wagner, and Yuanzhong Xia
ACM Digital Library | PDF | PDF with appendix | slides

Genetic and Evolutionary Computation Conference (GECCO) 2018

A fitness landscape analysis of the Travelling Thief Problem
Mohamed El Yafrani, Marcella S. R. Martins, Mehdi El Krari, Markus Wagner, Myriam R. B. S. Delgado, Belaid Ahiod, and Ricardo Lueders
ACM Digital Library | PDF | slides | code by Mehdi EL KRARI | used igraph R package | TTP Project Page

Genetic and Evolutionary Computation Conference (GECCO) 2018

On the Effectiveness of Simple Success-Based Parameter Selection Mechanisms for Two Classical Discrete Black-Box Optimization Benchmark Problems
(new title: "Simple On-the-Fly Parameter Selection Mechanisms for Two Classical Discrete Black-Box Optimization Benchmark Problems")
Carola Doerr and Markus Wagner
ACM Digital Library | PDF | slides | arXiv.org

Genetic and Evolutionary Computation Conference (GECCO) 2018

Discrepancy-based Evolutionary Diversity Optimization
Aneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner
ACM Digital Library | PDF | arXiv.org

Genetic and Evolutionary Computation Conference (GECCO) 2018

Evolutionary Computation plus Dynamic Programming for the Bi-Objective Travelling Thief Problem
Junhua Wu, Sergey Polyakovskiy, Markus Wagner, Frank Neumann
ACM Digital Library | PDF | arXiv.org | slides | code and results | TTP Project Page

Mining Software Repositories (MSR), CORE A, acc rate 33%

Data-Driven Search-based Software Engineering
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro Minku, Markus Wagner, Zhe Yu
ACM Digital Library | PDF | slides | arXiv.org

Simulated Evolution and Learning (SEAL) 2017

Exact Approaches for the Travelling Thief Problem
Junhua Wu, Markus Wagner, Sergey Polyakovskiy, Frank Neumann
SpringerLink | arXiv.org | poster | code and results | TTP Project Page

Genetic Improvement Workshop (GI@GECCO) 2017

Deep Parameter Optimisation on Android Smartphones for Energy Minimisation - A Tale of Woe and a Proof-of-Concept
Mahmoud A. Bokhari, Bobby R. Bruce, Brad Alexander, and Markus Wagner
ACM Digital Library | PDF

Genetic and Evolutionary Computation Conference (GECCO) 2017

Theoretical results on bet-and-run as an initialisation strategy
Andrei Lissovoi, Dirk Sudholt, Markus Wagner, and Christine Zarges
ACM Digital Library | PDF | slides

Genetic and Evolutionary Computation Conference (GECCO) 2017

HSEDA: A Heuristic Selection Approach Based on Estimation of Distribution Algorithm for the Travelling Thief Problem
Marcella Martins, Mohamed El Yafrani, Markus Wagner, Myriam Delgado, Belaid Ahiod, and Ricardo Lueders
ACM Digital Library | PDF | TTP Project Page

Genetic and Evolutionary Computation Conference (GECCO) 2017 Poster

Multi-objectiveness in the Single-objective Traveling Thief Problem
Mohamed El Yafrani, Shelvin Chand, Aneta Neumann, Belaid Ahiod, and Markus Wagner
ACM Digital Library | PDF | TTP Project Page

IEEE Congress on Evolutionary Computation (CEC) 2017

Improving local search in a minimum vertex cover solver for classes of networks
Markus Wagner, Tobias Friedrich, and Marius Lindauer
IEEE Xplore | PDF

IEEE Congress on Evolutionary Computation (CEC) 2017

A Modified Indicator-Based Evolutionary Algorithm (mIBEA)
Wenwen Li, Ender Ozcan, Robert John, John H. Drake, Aneta Neumann, and Markus Wagner
IEEE Xplore | PDF | slides